Restaurant Supply Chain Solutions, LLC, a Yum! Brands Co-op, is currently seeking a Senior Human Resources Analyst to join the Human Resources team in Louisville, KY.
Overview of the Business:
RSCS is accountable for ensuring supply continuity for the +$7B in critical Yum! Brand food and packaging components, which support 21,000+ restaurants and $20B in revenue across Pizza Hut, KFC, Taco Bell, The Habit Burger Grill and A&W in the United States.
Position Overview:
This newly created pivotal role will report to the Senior Director of Human Resources and support the delivery of the next-gen HR objectives. The selected candidate will partner with the HR team to implement world-class talent systems, lead HR process mapping, and design just-in-time reporting. In addition, the position will focus on HR system optimization, process documentation, data governance, data analysis, data integrity, data visualization (dashboards), and data audits.
The incumbent will play a crucial role in evaluating the latest technologies to enhance employee experience and enable team members to deliver breakthrough business results. Hybrid schedule - 3 days in the office, 2 days remote
Position Responsibilities:
- Provide analytical support for HR processes within the employee lifecycle.
- Design and implement data governance and data audit strategies.
- Ensure accurate HR/employee data reporting (may include Board presentations).
- Excel at process flow mapping and process documentation.
- Serve as a technical subject matter expert for the existing HR systems.
- Set up mechanisms in HR systems for compliance monitoring (national, regional, and local laws) and share
information regarding new regulations with the leader.
- Support ongoing HRIS roadmap assessment, HR system optimizations, implementations, and system integrations.
- Perform advanced analysis, compile/interpret data, and share insights to enable focus on key trends and
highest-impact programs.
- In partnership with HR vendors, troubleshoot system issues and implement applicable changes for optimum system
performance.
- Keep the HR team up to date on system updates and changes.
- Use quantitative and qualitative methods to research and analyze data for key initiatives.
- Create training materials (including digital) and communications regarding system rollouts/system changes and
milestone events.
Required and Preferred Education, Experience and Skills:
- Requires a bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Finance, or a related
field.
- Minimum of 3 to 5 years of prior HR analysis experience. A pattern of success with HR process mapping, HR
system implementations, data audit, and reporting design.
- Proven data analysis proficiency with demonstrated ability to propose options and high-impact solutions.
- Required technical skills: proven advanced expertise in office applications, such as Excel, MS Teams,
PowerPoint, and Word.
- Proficiency in project management/process mapping/analytics/dashboard tools (Examples: SQL, Monday.com, Asana,
SharePoint, PowerBI, Visio, Miro, etc.).
- Preference to candidates with payroll and executive compensation administration experience.
- Strongly desired: familiarity with ADP and Long-Term Incentive (LTI) administration systems.
- PMP certification and/or compensation, payroll, and benefits certifications.
Required Competencies:
- Ability to maintain confidentiality.
- Act with integrity, be transparent and collaborative.
- Ability to garner the trust of the immediate leader, the HR team, and all constituents while managing tight
timelines in a dynamic, high-output environment.
- Strong verbal, written and relationship-building skills for interacting and collaborating with staff throughout
the organization; demonstrate teamwork skills, as well as proficiency for collaboration, attention to detail,
and strong organizational skills.
- Must have strong analytical skills and experience detecting trends and offering solutions. This includes
capabilities to analyze substantial amounts of data to interpret patterns/trends, assess data quality, and
eliminate irrelevant information to draw fact-based conclusions for business decisions.
- Self-starter with an ability to multitask and deliver results without daily supervision at an elevated pace
with efficiency and precision.
- Flexibility and adaptability to change is crucial.